Principal Software Engineer - Nvidia AI Ecosystem

** Job Summary
** The Red Hat Ecosystems Engineering group is seeking a Principal Software Engineer to join our rapidly growing team to bridge the gap between cutting-edge hardware and world-class open-source software. This is a high-impact role at the intersection of Hybrid Cloud and AI. You will lead the design and productization of next-generation AI solutions, focusing on the deep integration of Red Hat’s software stack with Nvidia’s hardware acceleration technologies.

This is a game-changing opportunity to join an open-source AI platform that harnesses the power of hybrid cloud to drive innovation. In this role, you will work with a diverse team of highly talented Red Hat engineers, product teams, Nvidia engineers, and lighthouse customers. You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to Red Hat's innovative AI and cloud offering .

This is your chance to be at the forefront of AI's exciting evolution, joining an ecosystem that champions continuous learning, career growth, and professional development. At Red Hat, our commitment to open source innovation extends beyond our products - it’s embedded in how we work and grow. Red Hatters embrace change – especially in our fast-moving technological landscape – and have a strong growth mindset.

That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.##
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* What you will do:

***** Architect and lead the implementation of new features and joined solutions for Red Hat AI & Cloud with Nvidia cutting edge technologies: GPU, DPU and more
* Explore deep code integration into various Red Hat products, ensuring optimal integration between the Red Hat portfolio, hardware accelerators and partners
* Provide technical vision and leadership on critical and high-impact projects, ensuring non-functional requirements including security, resiliency, and maintainability are met
* Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to Red Hat partners and customers
* Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings
* Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats
* Mentor, influence, and coach a distributed team of engineers, contributing to a culture of continuous improvement by sharing recommendations and technical knowledge
* Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling##
**** What you will bring:
***** 7+ years of relevant technical experience in software development
* Advanced experience working in a Linux environment with at least one language like Golang, Python, Java, C, or C++
* Advanced experience with a container orchestration ecosystem like Kubernetes, or Red Hat Open Shift
* Strong experience with microservices architectures and concepts including APIs, versioning, monitoring, etc.
* Virtual Networking / Software Defined Networking (SDN) experience
* Experience with AI/ML technologies, including foundational frameworks, large language models (LLMs) and orchestration tools
* Ability to quickly learn and guide others on using new tools and technologies
* Proven ability to innovate and a passion for staying at the forefront of technology
* Excellent system understanding and troubleshooting capabilities
* Autonomous work ethic, thriving in a dynamic, fast-paced environment
* Proficient written and verbal communication skills in English##
**** The following is considered a plus:
***** Experience with cloud development for public cloud services (AWS, GCE, Azure)
* Background in Dev Ops or site reliability engineering (SRE)
* Experience with hardware accelerators (e.g., GPUs, CUDA, DOCA) for AI workloads
* Recent…